CN111427084A - Near-surface velocity modeling method and system based on micro-logging - Google Patents
Near-surface velocity modeling method and system based on micro-logging Download PDFInfo
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Abstract
The invention discloses a method and a system for modeling near-surface speed based on micro-logging, wherein the method comprises the following steps: determining a near-surface velocity model according to the logging information of the high-quality micro-logging; determining a high-speed top interface according to the near-surface speed model and the micro-logging data; according to the near-surface velocity model, a velocity model above the high-speed top interface is obtained, and the high-precision near-surface velocity model is obtained through micro-logging and logging data constraint, so that the improvement of the prestack depth migration imaging precision is facilitated.
Description
Technical Field
The invention relates to the technical field of seismic data processing, in particular to a method and a system for modeling near-surface velocity based on micro-logging.
Background
The key of the seismic prestack depth migration velocity modeling is near-surface velocity modeling, but due to the longitudinal and transverse changes of the surface morphology and the velocity, the near-surface velocity modeling precision is not high, the trend is unreasonable, and the well seismic error is large. The current solutions mainly include: the micro-logging surveys the near-surface structure, but the setting density of the micro-logging is not enough, and if the micro-logging surface layer survey is carried out in a large area, the production time and the cost pressure are large; the covering times of the surface layer of the seismic data are relatively low, effective reflection information is deficient, and a velocity modeling method based on the reflected wave obviously has no function; the first-arrival chromatographic inversion is influenced by the offset distance, the shallow velocity is higher than the near-surface investigation velocity, along with the increase of the inversion depth, the inversion velocity is higher than the near-surface investigation velocity, the whole well-seismic relationship is inconsistent, the error is large, and the actual production requirement cannot be met.
Disclosure of Invention
The invention aims to provide a method for modeling near-surface speed based on micro-logging, which obtains a high-precision near-surface speed model through micro-logging and logging data constraint. Another object of the present invention is to provide a micro-logging based near-surface velocity modeling system. It is a further object of this invention to provide such a computer apparatus. It is a further object of this invention to provide a computer readable medium.
In order to achieve the above object, the present invention discloses a method for modeling near-surface velocity based on micro-logging, which comprises:
Determining a near-surface velocity model according to the logging information of the high-quality micro-logging;
Determining a high-speed top interface according to the near-surface speed model and the micro-logging data;
And obtaining a speed model above the high-speed top interface according to the near-surface speed model.
Preferably, the method further comprises:
Obtaining a plurality of available micro-logs and logging information of each micro-log;
Acquiring the near-surface speed information of the single-shot near-shot ranging at the same position of each micro-logging;
And if the near-surface speed information of one micro-log is consistent with the actual near-surface speed information detected in the micro-log, the micro-log is a high-quality micro-log.
Preferably, the determining the near-surface velocity model according to the logging data of the high-quality micro-logging specifically comprises:
Obtaining a micro-logging first arrival according to the logging data of the high-quality micro-logging;
And carrying out chromatographic inversion on the micro-logging first arrival to obtain the near-surface velocity model.
Preferably, the method further comprises:
Determining the near-surface model speed of the micro-logging preset position according to the near-surface speed model;
And respectively comparing the near-surface model velocity with the actual near-surface velocity, the vertical seismic profile velocity and the acoustic logging velocity detected in the micro-logging, and if the near-surface model velocity is not consistent with the actual near-surface velocity, the vertical seismic profile velocity and the acoustic logging velocity, adjusting the parameters of the near-surface velocity model until the near-surface model velocity is consistent with the actual near-surface velocity, the vertical seismic profile velocity and the acoustic logging velocity.
Preferably, the determining a high-speed top interface according to the seismic near-surface model velocity and the micro-logging data comprises:
Obtaining a near-surface model speed according to the near-surface speed model;
And synthesizing the near-surface model speed, the micro logging layering, the geological outcrop, the surface elevation and the regional near-surface structure to obtain the high-speed top interface.
Preferably, the obtaining a velocity model above the high-velocity top interface according to the near-surface velocity model specifically includes:
Obtaining the near-surface model speed of the region above the high-speed top interface according to the near-surface speed model;
And if the speed of the speed field in the area below the high-speed top interface at the high-speed top interface is not consistent with the speed of the near-surface model, adjusting the near-surface speed model until the speed of the speed field at the high-speed top interface is consistent with the speed of the near-surface model.
Preferably, the method further comprises:
Obtaining a datum plane static correction value through a near-surface speed model and a high-speed top interface;
And checking the static correction value of the reference surface through the single-shot first arrival smoothness degree and the superimposed section imaging effect, and if the checking is unqualified, adjusting the high-speed top interface until the static correction value of the reference surface is checked to be qualified.
The invention also discloses a micro-logging-based near-surface velocity modeling system, which comprises a model establishing unit, an interface determining unit and a velocity model unit;
The model establishing unit is used for determining a near-surface speed model according to logging information of high-quality micro logging;
The interface determining unit is used for determining a high-speed top interface according to the near-surface speed model and the micro-logging data;
And the speed model unit is used for obtaining a speed model above the high-speed top interface according to the near-surface speed model.
Preferably, the system further comprises a micro-logging determination unit;
The micro-logging determining unit is used for obtaining a plurality of available micro-logs and logging information of each micro-log, obtaining near-surface speed information of a single-shot near-offset at the same position of each micro-log from the beginning, and if the near-surface speed information of one micro-log is consistent with the actual near-surface speed information detected in the micro-log, determining that the micro-log is a high-quality micro-log.
Preferably, the model establishing unit is further configured to obtain a micro-logging first arrival according to the logging data of the high-quality micro-logging, and perform chromatographic inversion on the micro-logging first arrival to obtain the near-surface velocity model.
Preferably, the model establishing unit is further configured to determine a near-surface model velocity of the preset position of the micro-logging according to the near-surface velocity model, compare the near-surface model velocity with an actual near-surface velocity, a vertical seismic profile velocity and an acoustic logging velocity detected in the micro-logging, and if the near-surface model velocity is not consistent with the actual near-surface velocity, the vertical seismic profile velocity and the acoustic logging velocity, adjust parameters of the near-surface velocity model until the near-surface model velocity is consistent with the actual near-surface velocity, the vertical seismic profile velocity and the acoustic logging velocity.
Preferably, the interface determining unit is further configured to obtain a near-surface model speed according to the near-surface speed model, and synthesize the near-surface model speed, the micro-logging layering, the geological outcrop, the surface elevation and the regional near-surface structure to obtain the high-speed top interface.
Preferably, the speed model unit is further configured to obtain a near-surface model speed of an area above the high-speed top interface according to the near-surface speed model, and if the speed of the speed field of the area below the high-speed top interface at the high-speed top interface is not consistent with the speed of the near-surface model, adjust the near-surface speed model until the speed of the speed field at the high-speed top interface is consistent with the speed of the near-surface model.
Preferably, the interface determining unit is further configured to obtain a reference surface static correction value through a near-surface velocity model and a high-speed top interface, check the reference surface static correction value through a single shot first arrival smoothness degree and a superimposed section imaging effect, and if the check is not qualified, adjust the high-speed top interface until the reference surface static correction value is checked to be qualified.
The invention also discloses a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor,
The processor, when executing the program, implements the method as described above.
The invention also discloses a computer-readable medium, having stored thereon a computer program,
Which when executed by a processor implements the method as described above.
According to the method, high-precision near-surface velocity models can be provided by obtaining high-quality micro-logging and logging data and forming near-surface velocity models through logging data constraint, so that high-speed top interfaces can be accurately picked up, and the near-surface velocity models are embedded into the depth-velocity models according to the near-surface velocity models, so that the high-precision near-surface velocity models are provided for prestack depth migration velocity modeling.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 illustrates one of the flow charts of an embodiment of a method for micro-logging based near-surface velocity modeling of the present invention;
FIG. 2 is a second flowchart of an embodiment of a method for modeling near-surface velocity based on micro-logging;
FIG. 3 is a third flowchart of an embodiment of a method for modeling near-surface velocity based on micro-logging;
FIG. 4 is a fourth flowchart illustrating an embodiment of a method for micro-logging based near-surface velocity modeling according to the present invention;
FIG. 5 is a flow chart of a fifth embodiment of a method for micro-logging based near-surface velocity modeling;
FIG. 6 illustrates a sixth flowchart of an embodiment of a method for micro-logging based near-surface velocity modeling according to the present invention;
FIG. 7 illustrates a seventh flowchart of an embodiment of a method for micro-logging based near-surface velocity modeling in accordance with the present invention;
FIG. 8 illustrates an eighth flowchart of an embodiment of a method for micro-logging based near-surface velocity modeling in accordance with the present invention;
FIG. 9 shows a comparison of the present invention with micro-logging and well data constraint inversion speed, unconstrained initial inversion speed in the prior art, and actual near-surface survey speed;
FIG. 10 is a graph illustrating the effect of datum level static correction in a particular embodiment of the present invention in comparison to the prior art;
FIG. 11 is a graph comparing the effect of the velocity model of the present invention with that of the prior art;
FIG. 12 illustrates a graph comparing the effect of the pre-stack depth migration map of the present invention with a prior art pre-stack depth migration map;
FIG. 13 is a block diagram illustrating one embodiment of a micro-logging based near-surface velocity modeling system according to the present invention;
FIG. 14 is a block diagram illustrating one embodiment of a micro-logging based near-surface velocity modeling system according to the present invention;
FIG. 15 is a block diagram illustrating one embodiment of a micro-logging based near-surface velocity modeling system according to the present invention;
FIG. 16 shows a schematic block diagram of a computer device suitable for use in implementing embodiments of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
According to one aspect of the invention, the embodiment discloses a method for modeling near-surface velocity based on micro-logging. As shown in fig. 1, in this embodiment, the near-surface velocity modeling method includes:
S100: and determining a near-surface velocity model according to the logging information of the high-quality micro-logging.
S200: and determining a high-speed top interface according to the near-surface speed model and the micro-logging data.
S300: and obtaining a speed model above the high-speed top interface according to the near-surface speed model.
According to the method, high-precision near-surface velocity models can be provided by obtaining high-quality micro-logging and logging data and forming near-surface velocity models through logging data constraint, so that high-speed top interfaces can be accurately picked up, and the near-surface velocity models are embedded into the depth-velocity models according to the near-surface velocity models, so that the high-precision near-surface velocity models are provided for prestack depth migration velocity modeling.
In a preferred embodiment, as shown in fig. 2, the near-surface velocity modeling method further includes step S000:
S010: and obtaining a plurality of available micro-logs and logging information of each micro-log. In a seismic survey area, a plurality of micro-logs can be formed, wherein the micro-logs refer to wells formed by penetrating through a near-surface low-velocity zone. Near surface velocity modeling can be performed by micro-logging by generally exciting (receiving) seismic waves in micro-logging and receiving (exciting) seismic waves at the surface, and studying the velocity and thickness of a low-velocity zone by using the first arrival time of transmitted waves. The logging information may include logging information such as the location, depth, and geological conditions of the micro-logs.
S020: and acquiring the near-surface speed information of the single-shot near-shot offset at the same position of each micro-logging. Specifically, single guns at the same position in the micro-logging, namely single guns on the same horizontal line, can be extracted, and the near-surface speed value and the near-surface speed information of the change condition of the near-surface speed value are estimated through the near-gun offset first arrival of the single guns.
S030: and if the near-surface speed information of one micro-log is consistent with the actual near-surface speed information detected in the micro-log, the micro-log is a high-quality micro-log. Specifically, the information of the near-surface speed estimated by the single-shot near-shot ranging from the first arrival is compared with the actual near-surface speed of the micro-logging survey, so that whether the micro-well data of the micro-logging is accurate or not can be determined. And verifying the reliability of the micro-logging by preferably selecting the high-quality micro-logging, and if the consistency of the near-surface speed estimated by the micro-logging data and the actual near-surface speed obtained by detection is poor, considering that the micro-logging data is inaccurate and rejecting the micro-logging data, thereby preferably selecting the high-quality micro-logging and logging data.
In one embodiment, the estimated near-surface velocity is considered to be consistent with the actual near-surface velocity when the difference between the estimated near-surface velocity and the measured actual near-surface velocity is within a predetermined difference, the microlog is a quality microlog, otherwise, the microlog is inconsistent. In other embodiments, based on the same principle, when a high-quality micro-log is screened, the reliability of the micro-log can be further determined according to the change condition of the near-surface velocity obtained through estimation, and the process is similar to the process of determining the high-quality micro-log according to the near-surface velocity, and is not described herein again.
In a preferred embodiment, as shown in fig. 3, the S100 may specifically include:
S110: and obtaining a micro-logging first arrival according to the logging information of the high-quality micro-logging.
S120: and carrying out chromatographic inversion on the micro-logging first arrival to obtain the near-surface velocity model. In this embodiment, the tomographic inversion is performed on the microlog first-motion wave to obtain the near-surface velocity model, and it can be understood that the obtained near-surface velocity model can also be obtained by other feasible methods, which is not limited in this invention.
In a preferred embodiment, as shown in fig. 4, the S100 may further include:
S130: and determining the near-surface model speed of the micro-logging preset position according to the near-surface speed model. Specifically, a preset position of the micro-logging is selected, and the near-surface model speed of the preset position in the micro-logging can be calculated through the obtained near-surface speed model.
S140: and respectively comparing the near-surface model velocity with the actual near-surface velocity, the vertical seismic profile velocity and the acoustic logging velocity detected in the micro-logging, and if the near-surface model velocity is not consistent with the actual near-surface velocity, the vertical seismic profile velocity and the acoustic logging velocity, adjusting the parameters of the near-surface velocity model until the near-surface model velocity is consistent with the actual near-surface velocity, the vertical seismic profile velocity and the acoustic logging velocity.
The method comprises the steps of carrying out precision verification on a formed near-surface velocity model according to the actual near-surface velocity, the vertical seismic profile velocity and the acoustic logging velocity of logging data, when the near-surface model velocity is consistent with the actual near-surface velocity, the vertical seismic profile velocity and the acoustic logging velocity, indicating that the precision and the accuracy of the near-surface velocity model are good, and being capable of being used for near-surface velocity modeling, when the near-surface model velocity is inconsistent with the actual near-surface velocity, the vertical seismic profile velocity and the acoustic logging velocity, namely the near-surface velocity model does not meet the precision requirement, adjusting parameters for forming the near-surface velocity model, carrying out micro-logging and well data constraint first-arrival chromatographic inversion again, carrying out precision verification on the near-surface velocity model again, and repeating the process until the near-surface velocity model can meet the precision requirement. In a specific example, when the difference between the near-surface model velocity and the actual near-surface velocity, the vertical seismic profile velocity and the acoustic logging velocity is less than a preset precision check value, the near-surface model velocity is considered to be consistent with the actual near-surface velocity, the vertical seismic profile velocity and the acoustic logging velocity.
In a preferred embodiment, as shown in fig. 5, the S200 may specifically include:
S210: and obtaining the near-surface model speed according to the near-surface speed model. A depth-velocity model, namely the distribution of velocity in a depth range, can be obtained through a near-surface velocity model.
S220: and synthesizing the near-surface model speed, the micro logging layering, the geological outcrop, the surface elevation and the regional near-surface structure to obtain the high-speed top interface. The applicability of the near-surface velocity model may be determined by determining the high-velocity top interface. The high-speed top interface refers to an interface between a high-speed layer and a low-speed layer or a deceleration layer. The low velocity zone exists in a low velocity zone of the ground surface, generally referring to a section where the void of the uncured earth is filled with air rather than water. The speed of the descending layer is higher than that of the low-speed layer, and the lithology of the descending layer is generally not much different from that of the low-speed layer, mainly due to the speed difference caused by the compaction effect or the water content degree.
In a preferred embodiment, as shown in fig. 6, the S200 may further include:
S230: and obtaining the static correction value of the reference surface through the near-surface velocity model and the high-speed top interface.
S240: and checking the static correction value of the reference surface through the single-shot first arrival smoothness degree and the superimposed section imaging effect, and if the checking is unqualified, adjusting the high-speed top interface until the static correction value of the reference surface is checked to be qualified. Wherein the strategy for adjusting the high-speed top interface can be determined by re-recognizing the near-surface structure of the region.
In a specific example, if the single shot first arrival smoothness and the superimposed section imaging effect corresponding to the reference surface static correction amount are weaker than other correction amounts, the verification is determined to be unqualified. As a preferred embodiment, the single shot first-arrival smoothness and the superimposed section imaging effect may be observed by an observation method, or the single shot first-arrival smoothness and the superimposed section imaging effect may be determined by forming effect data according to a predetermined rule and determining a difference between the single shot first-arrival smoothness and the superimposed section imaging effect by comparing the effect data to determine whether the reference plane static correction amount obtained in S230 is the optimal reference plane static correction amount.
In a preferred embodiment, as shown in fig. 7, the S300 may specifically include:
S310: and obtaining the near-surface model speed of the region above the high-speed top interface according to the near-surface speed model. The relation between the near-surface speed and the depth can be obtained through the near-surface speed model.
S320: and if the speed of the speed field in the area below the high-speed top interface at the high-speed top interface is not consistent with the speed of the near-surface model, adjusting the near-surface speed model until the speed of the speed field at the high-speed top interface is consistent with the speed of the near-surface model. In a specific example, if the difference between the speed of the speed field in the region below the high-speed top interface at the high-speed top interface and the speed of the near-surface model is within a preset speed difference, it indicates that the speed of the speed field in the region below the high-speed top interface at the high-speed top interface is consistent with the speed of the near-surface model, and the precision and accuracy of the near-surface speed field obtained through the near-surface speed model are high, so that a pre-stack depth migration speed model with a good effect can be formed.
By introducing a high-speed top interface, embedding a near-surface velocity model above the interface, wherein continuous smoothing and iteration are needed in the embedding process until the speed of the near-surface velocity model at the high-speed top interface is consistent with the speed of the near-surface model, and the velocity field has reasonable trend at the high-speed top interface and is natural and integrated, so that a shallow velocity model with high precision can be formed.
In a preferred embodiment, as shown in fig. 8, the method may further include S400:
S410: forming a prestack depth migration near-surface profile from the velocity model.
S420: and if the prestack depth migration near-surface profile meets the preset condition, performing prestack depth migration middle layer and deep layer speed modeling to form a prestack depth migration profile.
The prestack depth migration profile effect directly verifies the precision of the near-surface velocity model, particularly shallow data imaging, and if the effect is obviously improved, the precision of the near-surface model is higher. And on the basis, performing prestack depth migration medium and deep layer speed modeling iteration work until the prestack depth migration medium and deep layer speed modeling iteration work is completed. The method can improve the precision of the near-surface velocity model, improve the imaging of shallow data, facilitate the accurate velocity modeling of the middle and deep layers and further improve the imaging precision of prestack depth migration.
9-12 show graphs comparing the results of near surface velocity modeling using the method of the present invention with existing near surface velocity modeling. FIG. 9 shows a comparison of the present invention with the micro-log and well data constrained inversion speed, the prior art unconstrained initial inversion speed, and the actual near-surface survey speed. It can be seen from the figure that the initial inversion speed of the near-surface speed modeling method in the prior art has larger overall error, higher superficial speed and lower deep speed, and the inversion near-surface speed model formed by the micro-logging and logging data constraint of the invention has the advantages that the inversion speed is close to the stratum speed, the accuracy is higher, and a better near-surface speed model is provided for the subsequent prestack depth migration. Fig. 10-12 are graphs showing the actual effect of using the method of the present invention on three-dimensional seismic data in the region of the tali basin garage vehicle. From the application effect of the project, the static correction precision of the reference surface is high, and the pre-stack depth migration imaging effect is obviously improved. Fig. 10 shows the effect comparison between the inversion of the datum static correction by using the micro-logging and logging data constraint first arrival chromatography and the prior art, and it can be seen that the precision of the static correction value is higher after the micro-logging and logging data constraint, the stacked profile imaging is improved greatly, and the problem of larger static correction is solved. Fig. 11 and 12 show that the first-arrival tomographic inversion is constrained by using the micro-logging and logging data, compared with the velocity model and the prestack depth migration effect obtained in the prior art, it can be seen that the velocity model has higher precision and reasonable trend after constraint by using the micro-logging and logging data, the prestack depth migration profile imaging is improved greatly, the in-phase axis is continuous, and the structural form is clear.
Based on the same principle, the embodiment also discloses a near-surface velocity modeling system based on the micro-logging. As shown in fig. 13, in the present embodiment, the near-surface velocity modeling system includes a model establishing unit 11, an interface determining unit 12, and a velocity model unit 13.
The model establishing unit 11 is configured to determine a near-surface velocity model according to the logging information of the high-quality micro-logging. The interface determining unit 12 is configured to determine a high-speed top interface according to the near-surface velocity model and the micro-logging data. The speed model unit 13 is configured to obtain a speed model above the high-speed top interface according to the near-surface speed model.
According to the method, high-precision near-surface velocity models can be provided by obtaining high-quality micro-logging and logging data and forming near-surface velocity models through logging data constraint, so that high-speed top interfaces can be accurately picked up, and the near-surface velocity models are embedded into the depth-velocity models according to the near-surface velocity models, so that the high-precision near-surface velocity models are provided for prestack depth migration velocity modeling.
In a preferred embodiment, as shown in FIG. 14, the system further comprises a microlog determination unit 14. The micro-logging determining unit 14 is configured to obtain a plurality of available micro-logs and logging information of each micro-log, obtain near-surface velocity information of a single-shot near-offset at the same position of each micro-log, and if the near-surface velocity information of one micro-log is consistent with actual near-surface velocity information detected in the micro-log, determine that the one micro-log is a high-quality micro-log.
In a preferred embodiment, the model establishing unit 11 is further configured to obtain a micro-logging first arrival according to the logging data of the high-quality micro-logging, and perform a tomographic inversion on the micro-logging first arrival to obtain the near-surface velocity model.
In a preferred embodiment, the model establishing unit 11 is further configured to determine a near-surface model velocity of the preset position of the micro-logging according to the near-surface velocity model, compare the near-surface model velocity with an actual near-surface velocity, a vertical seismic profile velocity and an acoustic logging velocity detected in the micro-logging, and if the near-surface model velocity is not consistent with the actual near-surface velocity, the vertical seismic profile velocity and the acoustic logging velocity, adjust parameters of the near-surface velocity model until the near-surface model velocity is consistent with the actual near-surface velocity, the vertical seismic profile velocity and the acoustic logging velocity.
In a preferred embodiment, the interface determining unit 12 is further configured to obtain a near-surface model speed according to the near-surface speed model, and obtain the high-speed top interface by integrating the near-surface model speed, the micro logging hierarchy, the geological outcrop, the surface elevation and the regional near-surface structure.
In a preferred embodiment, the speed model unit 13 is further configured to obtain a near-surface model speed of an area above the high-speed top interface according to the near-surface speed model, and if a speed of a speed field of an area below the high-speed top interface at the high-speed top interface is not consistent with the near-surface model speed, adjust the near-surface speed model until the speed of the speed field at the high-speed top interface is consistent with the near-surface model speed.
In a preferred embodiment, the interface determining unit 12 is further configured to obtain a reference surface static correction value through a near-surface velocity model and a high-speed top interface, check the reference surface static correction value through a single shot first-arrival smoothness degree and a superimposed section imaging effect, and if the check is not qualified, adjust the high-speed top interface until the reference surface static correction value is checked to be qualified.
In a preferred embodiment, the system further comprises a pre-stack depth migration unit 15, as shown in fig. 15. The prestack depth migration unit 15 is configured to form a prestack depth migration near-surface profile according to the velocity model, and if the prestack depth migration near-surface profile meets a preset condition, perform prestack depth migration middle layer and deep layer velocity modeling to form a prestack depth migration profile.
Because the principle of solving the problem of the near-surface velocity modeling system is similar to that of the method, the implementation of the near-surface velocity modeling system can refer to the implementation of the method, and details are not repeated here.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. A typical implementation device is a computer device, which may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
In a typical example, the computer device specifically comprises a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method performed by the client as described above when executing the program, or the processor implementing the method performed by the server as described above when executing the program.
Referring now to FIG. 16, shown is a schematic diagram of a computer device 600 suitable for use in implementing embodiments of the present application.
As shown in fig. 16, the computer apparatus 600 includes a Central Processing Unit (CPU)601 which can perform various appropriate works and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM)) 603. In the RAM603, various programs and data necessary for the operation of the system 600 are also stored. The CPU601, ROM602, and RAM603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
to the I/O interface 605, AN input section 606 including a keyboard, a mouse, and the like, AN output section 607 including a network interface card such as a Cathode Ray Tube (CRT), a liquid crystal feedback (L CD), and the like, a speaker, and the like, a storage section 608 including a hard disk, and the like, and a communication section 609 including a network interface card such as AN L AN card, a modem, and the like, the communication section 609 performs communication processing via a network such as the internet, a drive 610 is also connected to the I/O interface 606 as necessary, a removable medium 611 such as a magnetic disk, AN optical disk, a magneto-optical disk, a semiconductor memory, and the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted as necessary as the storage section 608.
In particular, according to an embodiment of the present invention, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the invention include a computer program product comprising a computer program tangibly embodied on a machine-readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (16)
1. A method for modeling near-surface velocity based on micro-logging is characterized by comprising the following steps:
Determining a near-surface velocity model according to the logging information of the high-quality micro-logging;
Determining a high-speed top interface according to the near-surface speed model and the micro-logging data;
And obtaining a speed model above the high-speed top interface according to the near-surface speed model.
2. The near-surface velocity modeling method of claim 1, further comprising:
Obtaining a plurality of available micro-logs and logging information of each micro-log;
Acquiring the near-surface speed information of the single-shot near-shot ranging at the same position of each micro-logging;
And if the near-surface speed information of one micro-log is consistent with the actual near-surface speed information detected in the micro-log, the micro-log is a high-quality micro-log.
3. The near-surface velocity modeling method of claim 1, wherein the determining the near-surface velocity model from the well log data of the high-quality micro-logs specifically comprises:
Obtaining a micro-logging first arrival according to the logging data of the high-quality micro-logging;
And carrying out chromatographic inversion on the micro-logging first arrival to obtain the near-surface velocity model.
4. The near-surface velocity modeling method of claim 3, further comprising:
Determining the near-surface model speed of the micro-logging preset position according to the near-surface speed model;
And respectively comparing the near-surface model velocity with the actual near-surface velocity, the vertical seismic profile velocity and the acoustic logging velocity detected in the micro-logging, and if the near-surface model velocity is not consistent with the actual near-surface velocity, the vertical seismic profile velocity and the acoustic logging velocity, adjusting the parameters of the near-surface velocity model until the near-surface model velocity is consistent with the actual near-surface velocity, the vertical seismic profile velocity and the acoustic logging velocity.
5. The near-surface velocity modeling method of claim 1, wherein said determining a high-speed top interface volume from said near-surface model velocity and micro-log data comprises:
Obtaining a near-surface model speed according to the near-surface speed model;
And synthesizing the near-surface model speed, the micro logging layering, the geological outcrop, the surface elevation and the regional near-surface structure to obtain the high-speed top interface.
6. The near-surface velocity modeling method of claim 1, wherein the obtaining the velocity model above the high-velocity top interface from the near-surface velocity model specifically comprises:
Obtaining the near-surface model speed of the region above the high-speed top interface according to the near-surface speed model;
And if the speed of the speed field in the area below the high-speed top interface at the high-speed top interface is not consistent with the speed of the near-surface model, adjusting the near-surface speed model until the speed of the speed field at the high-speed top interface is consistent with the speed of the near-surface model.
7. The near-surface velocity modeling method of claim 1, further comprising:
Obtaining a datum plane static correction value through a near-surface speed model and a high-speed top interface;
And checking the static correction value of the reference surface through the single-shot first arrival smoothness degree and the superimposed section imaging effect, and if the checking is unqualified, adjusting the high-speed top interface until the static correction value of the reference surface is checked to be qualified.
8. A near-surface velocity modeling system based on micro-logging is characterized by comprising a model establishing unit, an interface determining unit and a velocity model unit;
The model establishing unit is used for determining a near-surface speed model according to logging information of high-quality micro logging;
The interface determining unit is used for determining a high-speed top interface according to the near-surface speed model and the micro-logging data;
And the speed model unit is used for obtaining a speed model above the high-speed top interface according to the near-surface speed model.
9. The near-surface velocity modeling system of claim 8, further comprising a micro-log determination unit;
The micro-logging determining unit is used for obtaining a plurality of available micro-logs and logging information of each micro-log, obtaining near-surface speed information of a single-shot near-offset at the same position of each micro-log from the beginning, and if the near-surface speed information of one micro-log is consistent with the actual near-surface speed information detected in the micro-log, determining that the micro-log is a high-quality micro-log.
10. The near-surface velocity modeling system of claim 8, wherein the model building unit is further configured to obtain a micro-log first arrival according to the logging data of the high-quality micro-logs, and perform a tomographic inversion on the micro-log first arrival to obtain the near-surface velocity model.
11. The near-surface velocity modeling system of claim 10, wherein the model building unit is further configured to determine a near-surface model velocity of the preset position of the micro-log according to the near-surface velocity model, compare the near-surface model velocity with an actual near-surface velocity, a vertical seismic profile velocity and an acoustic logging velocity detected in the micro-log, and if the near-surface model velocity is not consistent with the actual near-surface velocity, the vertical seismic profile velocity and the acoustic logging velocity, adjust parameters of the near-surface velocity model until the near-surface model velocity is consistent with the actual near-surface velocity, the vertical seismic profile velocity and the acoustic logging velocity.
12. The near-surface velocity modeling system of claim 8, wherein the interface determination unit is further configured to derive a near-surface model velocity from the near-surface velocity model, and synthesize the near-surface model velocity, a micro-log hierarchy, a geological outcrop, a surface elevation, and a regional near-surface structure to derive the high-velocity roof interface.
13. The near-surface velocity modeling system of claim 8, wherein the velocity model unit is further configured to derive a near-surface model velocity for the region above the high-velocity top interface from the near-surface velocity model, and if the velocity of the velocity field for the region below the high-velocity top interface at the high-velocity top interface is not consistent with the near-surface model velocity, adjust the near-surface velocity model until the velocity of the velocity field at the high-velocity top interface is consistent with the near-surface model velocity.
14. The near-surface velocity modeling system of claim 8, wherein the interface determining unit is further configured to obtain a datum plane static correction value through the near-surface velocity model and the high-speed top interface, verify the datum plane static correction value through a single shot first arrival smoothness degree and a superimposed profile imaging effect, and if the datum plane static correction value is not verified, adjust the high-speed top interface until the datum plane static correction value is verified to be qualified.
15. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor,
The processor, when executing the program, implements the method of any of claims 1-7.
16. A computer-readable medium, having stored thereon a computer program,
The program when executed by a processor implementing the method according to any one of claims 1-7.
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